{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m ='C42381490481032423324234491'\n",
    "print(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#include \"stdio.h\"\n",
    "#include \"stdlib.h\"\n",
    "#include \"string.h\"\n",
    "#include \"stdtype.h\"\n",
    "\n",
    "char * p = \"dsajidjasdkjskald\";\n",
    "printf(\"%s\\n\",p);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "vscode": {
     "languageId": "sql"
    }
   },
   "outputs": [],
   "source": [
    "CREATE TABLE students (id INT PRIMARY KEY, name VARCHAR(100), age INT, grade FLOAT);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "vscode": {
     "languageId": "html"
    }
   },
   "outputs": [],
   "source": [
    "<h1>dsajkodjasdjpjdadjkal</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "vscode": {
     "languageId": "javascript"
    }
   },
   "outputs": [],
   "source": [
    "console.log('dsadasdiodiadop');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'seaborn'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mseaborn\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01msns\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[0;32m      4\u001b[0m fig, axs \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(ncols\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m5\u001b[39m, figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m30\u001b[39m,\u001b[38;5;241m5\u001b[39m))\n",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'seaborn'"
     ]
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, axs = plt.subplots(ncols=5, figsize=(30,5))\n",
    "sns.violinplot(x=\"survived\", y=\"age\", hue=\"sex\", data=data, ax=axs[0])\n",
    "sns.pointplot(x=\"sibsp\", y=\"survived\", hue=\"sex\", data=data, ax=axs[1])\n",
    "sns.pointplot(x=\"parch\", y=\"survived\", hue=\"sex\", data=data, ax=axs[2])\n",
    "sns.pointplot(x=\"pclass\", y=\"survived\", hue=\"sex\", data=data, ax=axs[3])\n",
    "sns.violinplot(x=\"survived\", y=\"fare\", hue=\"sex\", data=data, ax=axs[4])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
